Modeling Students through Analysis of Social Networks Topics

Educational Data Mining gathers the multiple methods that allow new and useful information extraction from great volumes of data coming from the educational context. The goal of this article is to obtain a model of the students of the Computer Science School of the UNLP from their participation in F...

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Detalles Bibliográficos
Autores principales: Charnelli, María Emilia, Lanzarini, Laura Cristina, Díaz, Francisco Javier
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2016
Materias:
Ciencias Informáticas
Minería de Datos
learning analytics
topic modeling
user modeling
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/55814
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-55814
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Minería de Datos
learning analytics
topic modeling
user modeling
spellingShingle Ciencias Informáticas
Minería de Datos
learning analytics
topic modeling
user modeling
Charnelli, María Emilia
Lanzarini, Laura Cristina
Díaz, Francisco Javier
Modeling Students through Analysis of Social Networks Topics
topic_facet Ciencias Informáticas
Minería de Datos
learning analytics
topic modeling
user modeling
description Educational Data Mining gathers the multiple methods that allow new and useful information extraction from great volumes of data coming from the educational context. The goal of this article is to obtain a model of the students of the Computer Science School of the UNLP from their participation in Facebook. The work describes the process of extraction of latent topics in posts made in public groups related to the School, and the modeling of the students from the topics discovered. Additionally, it includes the preprocessing done to the collected data, which constitutes a fundamental stage since it strongly conditions the performance of the models to be obtained. Finally, obtained results are presented together with conclusions and future lines of work.
format Objeto de conferencia
Objeto de conferencia
author Charnelli, María Emilia
Lanzarini, Laura Cristina
Díaz, Francisco Javier
author_facet Charnelli, María Emilia
Lanzarini, Laura Cristina
Díaz, Francisco Javier
author_sort Charnelli, María Emilia
title Modeling Students through Analysis of Social Networks Topics
title_short Modeling Students through Analysis of Social Networks Topics
title_full Modeling Students through Analysis of Social Networks Topics
title_fullStr Modeling Students through Analysis of Social Networks Topics
title_full_unstemmed Modeling Students through Analysis of Social Networks Topics
title_sort modeling students through analysis of social networks topics
publishDate 2016
url http://sedici.unlp.edu.ar/handle/10915/55814
work_keys_str_mv AT charnellimariaemilia modelingstudentsthroughanalysisofsocialnetworkstopics
AT lanzarinilauracristina modelingstudentsthroughanalysisofsocialnetworkstopics
AT diazfranciscojavier modelingstudentsthroughanalysisofsocialnetworkstopics
bdutipo_str Repositorios
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